AI QA
Quick summary
- Work type
- On-site
- Location
- Boston, MA
- Salary
- $80,000–$140,000 / yr
- Posted
- 2 days ago
- Closes
- Sep 29, 2026
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays less than 93% of similar roles. Most pay $133,787–$201,120 — the shaded band above. At the midpoint, this role pays about $110k versus about $167k for comparable roles.
Based on 240 similar postings.
Employer
About State Street
State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody
State Street currently has 132 open roles on FindRole.
Listed pay typically runs $120,000–$180,000 across 129 roles with salary data.
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At a glance
TL;DR · AI QA
As a mid-level Quality Assurance Engineer in the AI Testing team at Charles River Development / State Street Alpha, you will collaborate with product managers and engineers to design scalable test frameworks for validating AI-driven features across the CRIMS/Alpha platform. Your daily tasks include creating comprehensive test plans, executing tests for AI guardrails and probabilistic outputs, and integrating automated testing into CI/CD pipelines. You must have hands-on experience in AI-specific testing concepts like model validation and production monitoring, along with expertise in API testing, regression testing, and end-to-end validation. Proficiency in scripting languages and test automation tools is essential, as well as strong analytical skills to translate ambiguous product behavior into clear test scenarios. This role requires a solid background in software testing within agile environments and financial services experience is beneficial.
Skills
What you'll do
- Design and build reusable QA frameworks for validating AI-driven functionality.
- Define test strategies addressing both traditional application quality and AI-specific dimensions.
- Validate product behavior for AI use cases including output accuracy and robustness.
- Execute tests for AI guardrails, probabilistic outputs, and response boundaries.
- Monitor AI behavior in production to ensure continuous learning and performance.
What we're looking for
- 5-8 years of professional software testing or QA experience in agile/scrum teams.
- Proven experience implementing AI capabilities within the software testing process.
- Hands-on experience testing AI functionality embedded within a software product.
- Understanding of AI-specific testing concepts like guardrail testing and probabilistic output assessment.
- Strong understanding of QA methodologies, test strategy development, and automation best practices.
- Experience building or extending scalable, maintainable test frameworks for complex applications.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
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